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Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning
AI RESEARCH

Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques

June 10, 2026 Admin
AI RESEARCH

Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers

June 10, 2026 Admin
AI RESEARCH

V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions

June 10, 2026 Admin
AI RESEARCH

Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism

June 10, 2026 Admin
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Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning

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Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques
AI RESEARCH
Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques
Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers
AI RESEARCH
Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers
V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions
AI RESEARCH
V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions
Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism
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Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism
AI Education: How to Get Ahead in the 21st Century Job Market!
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Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques
AI RESEARCH
Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques
Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers
AI RESEARCH
Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers
V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions
AI RESEARCH
V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions
Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism
AI RESEARCH
Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism
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Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…

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The Future Is Here: The Latest News And Developments In The World Of AI!

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Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…

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Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques

June 10, 2026 Admin

arXiv:2606.11140v1 Announce Type: cross Abstract: Data assimilation (DA) in subsurface flow entails calibrating model parameters to match observed data, typically…

AI RESEARCH

Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers

June 10, 2026 Admin

arXiv:2511.01927v2 Announce Type: replace-cross Abstract: Solving large-scale Generalized Eigenvalue Problems (GEPs) is a fundamental yet computationally prohibitive task in science…

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V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions

June 10, 2026 Admin

arXiv:2512.11995v2 Announce Type: replace-cross Abstract: While many vision-language models (VLMs) are developed to answer well-defined, straightforward questions with highly specified…

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Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism

June 10, 2026 Admin

arXiv:2606.09377v2 Announce Type: replace-cross Abstract: Formal neural network verification — proving that a network satisfies safety properties for *all* inputs…

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Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning

June 10, 2026 Admin

arXiv:2604.15414v2 Announce Type: replace-cross Abstract: Continual reinforcement learning must balance retention with adaptation, yet many methods still rely on emph{single-model…

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Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning

June 9, 2026 Admin

arXiv:2605.23595v3 Announce Type: replace-cross Abstract: The rapid advancement of machine learning has led to an unprecedented expansion of model ecosystems,…

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Cosmo3DFlow: Wavelet Flow Matching for Spatial-to-Spectral Compression in Reconstructing the Early Universe

June 9, 2026 Admin

arXiv:2602.10172v2 Announce Type: replace-cross Abstract: Reconstructing the early universe from the evolved present-day universe is a challenging and computationally demanding…

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NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis

June 9, 2026 Admin

arXiv:2606.08948v1 Announce Type: cross Abstract: Comprehensive estimation of dietary micronutrients from food images could improve clinical nutrition care, but training…

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An Empirical Study of Data Scale, Model Complexity, and Input Modalities in Visual Generalization

June 9, 2026 Admin

arXiv:2606.04409v2 Announce Type: replace-cross Abstract: Modern deep neural networks usually have large parameter scales and nonlinear hierarchical structures, and they…

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Culturally-Adapted Red-Teaming Across East and Southeast Asian Contexts: A Methodological and Comparative Analysis

June 9, 2026 Admin

arXiv:2606.09178v1 Announce Type: cross Abstract: Multilingual safety evaluation of large language models (LLMs) has predominantly relied on direct translation (DT)…

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Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques

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